Splunk Blogs

The eval engineering lifecycle is a framework for standing up and harnessing evals for AI governance at scale. Learn how and when to implement the lifecycle.

The organizations with the most operational data often have the least ability to act on it

Multi-agent systems face exponential coordination costs. This guide outlines common production failure modes and the architectural principles required to build reliable, scalable agent swarms.

For this Splunk Community Spotlight, we’re sitting down with Meet Shah.

See how Splunk helps airports improve every journey.

Learn how AI identity substitution can misdirect agentic security workflows—and how CISOs can reduce risk through deterministic, auditable controls.

Prevent failures in multi-agent AI systems with strategies like deterministic task allocation, hierarchical goal decomposition, and real-time observability.

We recently announced the general availability of new Splunk Platform innovations supporting Cisco Data Fabric.

Learn how Cisco Data Fabric supports trusted, AI-ready operations.